About

Gunjan Srivastava is a seasoned data science and analytics leader with over 12 years of experience in building and managing high-quality analytics teams and ML-driven systems. With a passion for solving complex problems and improving businesses, processes, consumer engagement, and cost through data insights, data products, and predictive models, Gunjan has established herself as an expert in the field. Currently, Gunjan is the Head of Data Science and Analytics, Ads at Disney+Hotstar, where she leads the data science practice and is responsible for building ML-driven systems that enable the company and its partners to predict customer behavior, design better customer engagement strategies, perform tactical marketing, and reduce program risks. Gunjan's expertise lies in customer analytics, marketing analytics, fraud risk analytics, and product management, and she has extensive industry experience in banking, fintech, retail, e-commerce, FMCG, and consulting. Her functional expertise includes predictive modeling, business intelligence, fraud detection, customer segmentation, cross-sell/up-sell, A/B testing, tactical marketing, and loyalty management. Gunjan is proficient in several tools, including Python, SQL, Scikit-learn, MLflow, Flask, Tableau/Metabase, Neo4j, Spark, and Elasticsearch. She has also worked on various tech stacks as a data scientist, senior software engineer, product manager, research scientist, and AI specialist, including NLP, Reinforcement Learning, ResNet, Random Forest, CNN, RNN, Deep Learning, Big Data, Docker, TensorFlow, MySQL, MSSQL, ETL, Postgres, PyTorch, and infra. Gunjan holds a Master's degree in Data Science from the University of Texas and a BTech in Computer Science from VIT. She also has a background in Science from the Modern Education Society's Nowrosjee Wadia College Arts, Science, Pune 01. Overall, with 13.53 years of relevant experience, Gunjan Srivastava is a highly skilled data science and analytics leader with a proven track record of delivering exceptional results in various industries and domains.